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8710794223
* init pr * add script * clean config folders * organization * up * tokenizer fixes * Fix dpo script tokenizer setup + minor fixes (#184) * copy tokenizer setup * minor fixes --------- Co-authored-by: Hamish Ivison <[email protected]>
35 lines
1.2 KiB
Bash
Executable File
35 lines
1.2 KiB
Bash
Executable File
# you need 8 GPUs for full finetuning
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export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
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NUM_GPUS=8
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BATCH_SIZE_PER_GPU=1
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TOTAL_BATCH_SIZE=32
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GRADIENT_ACC_STEPS=$(($TOTAL_BATCH_SIZE/$NUM_GPUS/$BATCH_SIZE_PER_GPU))
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echo "Training model using $NUM_GPUS GPUs, $BATCH_SIZE_PER_GPU batch size per GPU, $GRADIENT_ACC_STEPS gradient accumulation steps"
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accelerate launch \
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--mixed_precision bf16 \
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--num_machines 1 \
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--num_processes $NUM_GPUS \
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--use_deepspeed \
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--deepspeed_config_file configs/ds_configs/stage3_no_offloading_accelerate.conf \
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open_instruct/dpo_tune.py \
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--model_name_or_path allenai/tulu-2-7b \
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--use_flash_attn \
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--gradient_checkpointing \
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--tokenizer_name allenai/tulu-2-7b \
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--use_slow_tokenizer \
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--dataset_name HuggingFaceH4/ultrafeedback_binarized \
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--max_seq_length 2048 \
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--preprocessing_num_workers 16 \
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--per_device_train_batch_size $BATCH_SIZE_PER_GPU \
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--gradient_accumulation_steps $GRADIENT_ACC_STEPS \
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--learning_rate 5e-7 \
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--lr_scheduler_type linear \
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--warmup_ratio 0.1 \
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--weight_decay 0. \
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--num_train_epochs 3 \
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--output_dir ~/dpo_7b_recreate2 \
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--with_tracking \
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--report_to tensorboard \
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--logging_steps 1 |